GeForce GTX 1660 vs GeForce RTX 2070 Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2070 Max-Q leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
Compare with AIRendering and compute
B +160.8%NVIDIA GeForce RTX 2070 Max-Q leads in this scenario (up to 160.8% in comparable benchmarks).
No comparable benchmarks yet: gaming: rasterization, gaming: ray tracing, power efficiency.
Advantages
Only measured and rated values: a noticeable benchmark gap and specs where more is better.
Where GeForce GTX 1660 is better0
No advantages found in our data.
Where GeForce RTX 2070 Max-Q is better6
Blender Benchmark 2.90 27.4% lower81 s vs 104 s
Blender Benchmark 2.90 10.5% lower549 s vs 607 s
Blender Benchmark 3.6.0 160.8% faster2,027 samples/min vs 777 samples/min
Shader units 896 more2,304 (CUDA cores) vs 1,408 (CUDA cores)
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Benchmarks
Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.
- B ahead by 27.4%
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1660103.8 sGeForce RTX 2070 Max-Q81.5 sPosition among tested models (27, CUDA)
B · 81A · 1040100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 27.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660
103.8 s · community measurement, sample 68 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 68 submissions (8 outliers excluded), interquartile range 102.75–105.37; submissions 2020-09-02 to 2021-11-01; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
81.5 s · community measurement, sample 23 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 23 submissions (1 outliers excluded), interquartile range 78.29–84.81; submissions 2020-09-03 to 2021-01-25; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- 2.4% difference, within the threshold
Blender Benchmark 2.90
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1660344.5 sGeForce RTX 2070 Max-Q352.7 sPosition among tested models (25, CUDA)
A · 344B · 3530200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 2.4% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce GTX 1660
344.5 s · community measurement, sample 45 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 45 submissions (8 outliers excluded), interquartile range 341.82–356.75; submissions 2020-09-03 to 2021-01-20; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
352.7 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 334.6–365.97; submissions 2020-09-03 to 2021-01-25; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 10.5%
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1660606.6 sGeForce RTX 2070 Max-Q549 sPosition among tested models (23, CUDA)
B · 549A · 60705001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 10.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660
606.6 s · community measurement, sample 38 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 38 submissions (6 outliers excluded), interquartile range 602.24–614.64; submissions 2020-09-03 to 2021-01-09; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
549 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (0 outliers excluded), interquartile range 524.36–576.34; submissions 2020-09-03 to 2021-01-25; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 160.8%
Blender Benchmark 3.6.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1660777.3 samples/minGeForce RTX 2070 Max-Q2,026.9 samples/minPosition among tested models (49, OptiX)
A · 777B · 2,02705,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2070 Max-Q is ahead by 160.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660
777.3 samples/min · community measurement, sample 36 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 36 submissions (2 outliers excluded), interquartile range 757.94–792.44; submissions 2023-07-01 to 2025-12-04; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
2,026.9 samples/min · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 1875.19–2124.65; submissions 2023-07-06 to 2024-03-17; OPTIX backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Cycles render in Blender Benchmark. Median of the sum of samples per minute over three scenes after removing outliers.
Other comparable benchmarks (3)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 97.7 | 79.3 | B +23.1% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 744.3 | 1,903.9 | B +155.8% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 726.6 | 1,814.6 | B +149.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (124)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,138.5 | 1,145.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,181.5 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 96.3 | 79.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 95.2 | 78 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 98.2 | 82.5 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 111.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 103 | 83 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 103.8 | 81.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 88.5 | 72.6 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 82.1 | 36.3 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 74.3 | 34.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 79.2 | 35.9 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 86 | 35.5 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 342 | 348.3 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 345.9 | 338.7 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 337.8 | 346.2 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 340.7 | 355.8 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 385.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 347.4 | 360 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 361.4 | 357 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 316.4 | 315.1 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 319.1 | 187 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 313.8 | 184 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 328 | 186.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 186.7 | 141.7 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 186.4 | 149 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 188.1 | 149.2 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 194 | 161.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 200.5 | 156 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 261.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 188.6 | 142.4 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 201.5 | 145.6 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 198.1 | 140.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 159.5 | 64.5 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 159.4 | 63.6 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 170.1 | 69.9 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 320.4 | 247.9 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 316.5 | 266.5 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 316.7 | 262.4 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 330.3 | 279.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 329.3 | 237.3 | reference |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | 402.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 286.5 | 227 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 313.5 | 226.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 334.9 | 229.9 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 199.4 | 136 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 196.8 | 130.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 211.1 | 142.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 580.6 | 525.1 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 584.7 | 566.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 582.5 | 543.6 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 580.9 | 552.4 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | 874.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 551.6 | 514.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 592.3 | 486.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 518.7 | 491.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 458.8 | 219.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 455.5 | 213.8 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 471.8 | 227.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 806.9 | 634.2 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 798.7 | 674.1 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 789.6 | 647.5 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 800.2 | 676.7 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 781.7 | 626.2 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 980.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 764.3 | 606.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 919.3 | 669.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 860.9 | 641.8 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 646.9 | 258 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 688.9 | 254.1 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 702.8 | 295.1 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 808.8 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 707.9 | 1,231.3 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 764.5 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 791.7 | 607.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 616.3 | 1,242.6 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 754.9 | 1,087.8 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 744.5 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 775.6 | 803.5 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 689.2 | 1,707.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 679.7 | 1,549.2 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 595.5 | 1,575.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 617.6 | 1,674.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 798.6 | 2,055.3 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 644.9 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 753.3 | 1,680.6 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 724.3 | 1,919.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 754 | 2,012 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700 | 1,845.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700.7 | 1,648.9 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 686.4 | 1,744 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 676 | 1,550.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 490.6 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 1,847.6 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 38 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 35 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 35.7 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 34.5 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 175.9 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 176.4 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 183.9 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 179.1 | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | — | 195.5 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 64.5 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 67.7 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 65.2 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 73.2 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 115.3 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 121.5 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 119.9 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 234.4 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 213.8 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 228.4 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 222.5 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 219.9 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 237.4 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 284 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 285.7 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 282.2 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 320.5 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,125.3 | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 810.8 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,040.8 | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 341.2 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
Chip maker values. The laptop maker sets the power limit and clocks in each laptop.
| Specification | A · GeForce GTX 1660 | B · GeForce RTX 2070 Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | TU106 | no data for A |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,408 (CUDA cores) | 2,304 (CUDA cores) | B: 896 more |
| Clocks | |||
| Base clock | 1,530 MHz | 885 MHz | A: 645 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,785 MHz | 1,185 MHz | A: 600 MHz more |
| Memory | |||
| Video memory | 6 GB | 8 GB | B: 2 GB more |
| Memory type | GDDR5 | GDDR6 | differs |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | no data | 448 GB/s | no data for A |
| Power and dimensions | |||
| Board powerTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops. | 120 W (board power) | 80 W (TDP) | not directly comparable |
| Recommended PSU | 450 W | no data | no data for B |
| Interface | PCIe 3.0 | PCIe 3.0 x16 | differs |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 145 mm | no data | no data for B |
| Thickness (slots) | 2 | no data | no data for B |
| Power connectors (reference) | 1x 8-pin | no data | no data for B |
Chip
GPU chip
Ano data
BTU106
no data for AArchitecture
ATuring
BTuring
equalShader units
A1,408 (CUDA cores)
B2,304 (CUDA cores)
B: 896 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,530 MHz
B885 MHz
A: 645 MHz moreBoost clock
A1,785 MHz
B1,185 MHz
A: 600 MHz moreClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.
Memory
Video memory
A6 GB
B8 GB
B: 2 GB moreMemory type
AGDDR5
BGDDR6
differsMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory bandwidth
Ano data
B448 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A120 W (board power)
B80 W (TDP)
not directly comparableTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.
Recommended PSU
A450 W
Bno data
no data for BInterface
APCIe 3.0
BPCIe 3.0 x16
differsLength (reference / Founders Edition)
A145 mm
Bno data
no data for BPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A2
Bno data
no data for BPower connectors (reference)
A1x 8-pin
Bno data
no data for B
“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).
Compare with AI
An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.
Questions and answers
How much video memory do NVIDIA GeForce GTX 1660 and NVIDIA GeForce RTX 2070 Max-Q have?
NVIDIA GeForce GTX 1660: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce RTX 2070 Max-Q: 8 GB GDDR6, 256-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1660: PCIe 3.0. NVIDIA GeForce RTX 2070 Max-Q: PCIe 3.0 x16.
Which is faster: NVIDIA GeForce GTX 1660 or NVIDIA GeForce RTX 2070 Max-Q?
NVIDIA GeForce RTX 2070 Max-Q leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
Data sources (3)
- NVIDIA — specifications of NVIDIA GeForce GTX 1660checked November 7, 2026
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2070 Max-Q, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.